Enable ruff import sorting

Topic: import_sorting

integrations/baseten.py

@@ -8,14 +8,13 @@ For more on the Truss file format, see https://truss.baseten.co/
 
 import typing as T
 
-import torch
 import dacite
-
+import torch
 from huggingface_hub import snapshot_download
 
+from riffusion.datatypes import InferenceInput
 from riffusion.riffusion_pipeline import RiffusionPipeline
 from riffusion.server import compute_request
-from riffusion.datatypes import InferenceInput
 
 
 class Model:

pyproject.toml

@@ -12,7 +12,7 @@ select = [
     "E",
     "W",
     # isort
-    # "I001"
+    "I001"
 ]
 
 ignore = []

riffusion/cli.py

@@ -6,8 +6,8 @@ from pathlib import Path
 
 import argh
 import numpy as np
-from PIL import Image
 import pydub
+from PIL import Image
 
 from riffusion.spectrogram_image_converter import SpectrogramImageConverter
 from riffusion.spectrogram_params import SpectrogramParams

riffusion/datatypes.py

@@ -3,8 +3,8 @@ Data model for the riffusion API.
 """
 from __future__ import annotations
 
-from dataclasses import dataclass
 import typing as T
+from dataclasses import dataclass
 
 
 @dataclass(frozen=True)

riffusion/riffusion_pipeline.py

@@ -9,15 +9,14 @@ import inspect
 import typing as T
 
 import numpy as np
-from PIL import Image
 import torch
-
 from diffusers.models import AutoencoderKL, UNet2DConditionModel
 from diffusers.pipeline_utils import DiffusionPipeline
 from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
 from diffusers.schedulers import DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler
 from diffusers.utils import logging
 from huggingface_hub import hf_hub_download
+from PIL import Image
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
 from riffusion.datatypes import InferenceInput

riffusion/server.py

@@ -3,21 +3,19 @@ Flask server that serves the riffusion model as an API.
 """
 
 import dataclasses
-import logging
 import io
 import json
-from pathlib import Path
+import logging
 import time
 import typing as T
+from pathlib import Path
 
 import dacite
 import flask
-
-from flask_cors import CORS
 import PIL
+from flask_cors import CORS
 
-from riffusion.datatypes import InferenceInput
+from riffusion.datatypes import InferenceInput, InferenceOutput
-from riffusion.datatypes import InferenceOutput
 from riffusion.riffusion_pipeline import RiffusionPipeline
 from riffusion.spectrogram_image_converter import SpectrogramImageConverter
 from riffusion.spectrogram_params import SpectrogramParams

riffusion/spectrogram_converter.py

@@ -1,12 +1,12 @@
+import warnings
+
 import numpy as np
 import pydub
 import torch
 import torchaudio
-import warnings
 
 from riffusion.spectrogram_params import SpectrogramParams
-from riffusion.util import audio_util
+from riffusion.util import audio_util, torch_util
-from riffusion.util import torch_util
 
 
 class SpectrogramConverter:

riffusion/spectrogram_image_converter.py

@@ -1,6 +1,6 @@
 import numpy as np
-from PIL import Image
 import pydub
+from PIL import Image
 
 from riffusion.spectrogram_converter import SpectrogramConverter
 from riffusion.spectrogram_params import SpectrogramParams

riffusion/spectrogram_params.py

@@ -1,8 +1,8 @@
 from __future__ import annotations
 
+import typing as T
 from dataclasses import dataclass
 from enum import Enum
-import typing as T
 
 
 @dataclass(frozen=True)

test/image_util_test.py

@@ -1,9 +1,9 @@
 import numpy as np
 import pydub
 
-from riffusion.util import image_util
 from riffusion.spectrogram_converter import SpectrogramConverter
 from riffusion.spectrogram_params import SpectrogramParams
+from riffusion.util import image_util
 
 from .test_case import TestCase
 

test/linter_test.py

@@ -1,5 +1,5 @@
-from pathlib import Path
 import subprocess
+from pathlib import Path
 
 from .test_case import TestCase
 

test/spectrogram_image_converter_test.py

@@ -1,8 +1,8 @@
 import dataclasses
 import typing as T
 
-from PIL import Image
 import pydub
+from PIL import Image
 
 from riffusion.spectrogram_image_converter import SpectrogramImageConverter
 from riffusion.spectrogram_params import SpectrogramParams

test/test_case.py

@@ -1,10 +1,10 @@
 import os
-from pathlib import Path
 import shutil
 import tempfile
 import typing as T
-import warnings
 import unittest
+import warnings
+from pathlib import Path
 
 
 class TestCase(unittest.TestCase):